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陷波滤波器谐振抑制参数优化方法

李文涛 白瑞林 朱渊渤

噪声与振动控制2018,Vol.38Issue(3):20-25,6.
噪声与振动控制2018,Vol.38Issue(3):20-25,6.DOI:10.3969/j.issn.1006-1355.2018.03.004

陷波滤波器谐振抑制参数优化方法

Optimization Method of Resonant Suppression Parameters of Notch Filters

李文涛 1白瑞林 1朱渊渤2

作者信息

  • 1. 江南大学 轻工过程先进控制教育部重点实验室,江苏 无锡 214122
  • 2. 无锡信捷电气股份有限公司,江苏 无锡 214072
  • 折叠

摘要

Abstract

In the resonant suppression of the servo system, unreasonable depth and width of the notch filter may lead to poor resonance suppression effect. In this paper, an optimization method of resonant suppression parameters of notch filters is proposed. The resonant spectrum is obtained by FFT transformation of velocity deviation, and the notch frequency is determined by the frequency at the maximum amplitude. The depth parameter is determined by the ratio of the amplitude at any point of the spectrum curve to the maximum amplitude, and the width parameter is determined by the width between the corresponding frequency and the resonant frequency. In order to ensure the rationality of the parameters, the amplitude at the resonant frequency after filtering is used as the fitness, and the notch depth and width parameters are optimized by the improved particle swarm optimization (PSO) algorithm. This method can avoid the parameters trapping into local optimum due to noise interference and load change. The experimental results show that this method can analyze the mechanical resonance and match the optimal parameters on-line and significantly reduce the mechanical resonance.

关键词

振动与波/伺服系统/陷波滤波器/FFT/粒子群优化/机械谐振

Key words

vibration and wave/servo system/notch filter/FFT/particle swarm optimization (PSO)/mechanical resonance

分类

信息技术与安全科学

引用本文复制引用

李文涛,白瑞林,朱渊渤..陷波滤波器谐振抑制参数优化方法[J].噪声与振动控制,2018,38(3):20-25,6.

基金项目

江苏优势学科建设工程资助项目(PAPD) (PAPD)

江苏省产学研前瞻性联合研究资助项目(BY2015019-38) (BY2015019-38)

江苏省科技成果转化专项资金资助项目(BA2016075) (BA2016075)

噪声与振动控制

OACSCDCSTPCD

1006-1355

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